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Estimation-Quantization Geometry Coding Using Normal Meshes

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dc.contributor.author Lavu, Sridhar
Choi, Hyeokho
Baraniuk, Richard G.
dc.creator Lavu, Sridhar
Choi, Hyeokho
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:51:16Z
dc.date.available 2007-10-31T00:51:16Z
dc.date.issued 2003-03-01
dc.date.submitted 2003-03-01
dc.identifier.uri http://hdl.handle.net/1911/20052
dc.description Conference Paper
dc.description.abstract We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the Estimation-Quantization (EQ) algorithm originally designed for still image compression to the normal mesh wavelet coefficients. The EQ algorithm models the wavelet coefficients as a Gaussian random field with slowly varying standard deviation. By designing the quantizers in a rate-distortion optimal fashion, we improve upon the recently proposed zerotree normal mesh compression algorithm by 0.5 to 1 dB in distortion.
dc.description.sponsorship Defense Advanced Research Projects Agency
dc.description.sponsorship Office of Naval Research
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subject Estimation-Quantization
Normal Meshes
3D Geometry coding
dc.subject.other Image Processing and Pattern analysis
Wavelet based Signal/Image Processing
Multiscale Methods
Signal Processing Applications
Multiscale geometry processing
dc.title Estimation-Quantization Geometry Coding Using Normal Meshes
dc.type Conference Paper
dc.date.note 2003-03-29
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-21
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword Estimation-Quantization
Normal Meshes
3D Geometry coding
dc.citation.location Snowbird, Utah
dc.citation.conferenceName Data Compression Conference
dc.type.dcmi Text
dc.identifier.citation S. Lavu, H. Choi and R. G. Baraniuk,"Estimation-Quantization Geometry Coding Using Normal Meshes," in Data Compression Conference,

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  • ECE Publications [1034 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.